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deslicer

MCP Server for Splunk

enhance_tool_description

Analyze existing MCP tool metadata and execution signatures to generate enhanced descriptions with argument definitions, parameter examples, and usage patterns.

Instructions

Analyzes existing MCP tools and enhances their descriptions with detailed argument definitions, parameter examples, and usage patterns. Use this tool when you need to improve or generate better documentation for a tool, such as adding examples or clarifying parameters. This tool examines the current tool's metadata, inspects its execute method signature, and generates comprehensive documentation improvements.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tool_nameYesName of the tool to enhance (e.g., 'get_configurations', 'list_indexes')
generate_examplesNoWhether to generate parameter examples based on the tool's signature and category. Defaults to True.
include_response_formatNoWhether to analyze and include expected response format information. Defaults to True.
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the full burden. It mentions examining metadata and inspecting the execute method signature, but does not explicitly state that the tool has no side effects or is read-only. The lack of behavioral detail (e.g., whether it modifies the tool's behavior) makes it adequate but not thorough.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is two sentences: the first defines the action and outcome, the second provides usage guidance. No wasted words, and the most critical information is front-loaded. Excellent conciseness.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a self-referential tool with 3 well-documented parameters and no output schema, the description is largely complete. It covers purpose, usage, and high-level behavior. However, it does not explicitly describe the return value (e.g., the enhanced description), which is a minor gap given the tool's nature.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% with descriptions for all 3 parameters. The description adds context about generating examples and usage patterns but does not introduce new meaning beyond the schema. Baseline 3 is appropriate as the description does not compensate for any schema gaps.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states that the tool analyzes and enhances MCP tool descriptions with detailed argument definitions, parameter examples, and usage patterns. It uses specific verbs like 'analyzes' and 'enhances', and its purpose is unique among siblings, which are mostly task-specific tools.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explicitly says 'Use this tool when you need to improve or generate better documentation for a tool', providing clear when-to-use guidance. However, it does not mention when not to use it or list alternatives, though the self-referential nature makes exclusions less critical.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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